Paste any suspicious email, text, URL, or screenshot. Six detection layers return an instant verdict with detailed red flags — free, private, no signup.
IsThisAScam is a free AI-powered scam and phishing detector built by Zeplik, Inc. Users paste suspicious emails, text messages, URLs, or screenshots and receive an instant verdict — safe, suspicious, or scam — with detailed red flags and explanations. The 6-layer detection engine checks URL reputation against Google Web Risk and VirusTotal, analyzes domain intelligence through WHOIS and SSL records, validates email authentication via SPF, DKIM, and DMARC, uses Claude Sonnet AI to detect manipulation and brand impersonation, performs visual analysis with OCR on screenshots, and cross-references a community database of known scam patterns. No signup required. Works in 30+ languages. Privacy-first — no content is stored after analysis.
These are real scam patterns people are checking right now. Click one to see the scanner in action — takes 10 seconds.
Paste any suspicious text, URL, or screenshot into the scanner.
Our 6-layer engine checks 70+ threat databases and AI analysis.
Get an instant verdict with detailed red flags and explanations.
Every scan runs through our multi-layered detection engine, combining threat intelligence APIs, domain analysis, email authentication, and AI-powered semantic analysis.
Cross-references URLs against Google Web Risk, VirusTotal, PhishTank, and URLhaus databases.
Analyzes domain age, WHOIS data, SSL certificates, and DNS records for suspicious patterns.
Verifies SPF, DKIM, and DMARC records to detect spoofed or forged email headers.
Advanced AI analyzes content across 12 dimensions including urgency, manipulation, and brand impersonation.
OCR extracts text from screenshots to detect fake login pages and brand impersonation.
Matches against our growing database of community-reported scams and phishing attempts.
Read the brief on any pattern. Each entry covers the tactics, the targets, and what to do.
Fake emails or websites designed to steal your login credentials and personal information.
Fraudsters build fake romantic relationships to manipulate victims into sending money.
Fake tech support calls or pop-ups claiming your device is infected.
Fraudulent investment opportunities promising unrealistic returns.
Cryptocurrency scams including fake exchanges, rug pulls, and pump-and-dump schemes.
Scammers promise large returns but ask you to pay upfront fees first.
Fake job listings designed to steal personal information or upfront payments.
Fake delivery notifications asking for payment or personal information.
Scammers pretending to be someone you know or a trusted organization.
One paste. Six detection layers. An instant verdict before you click, reply, or send money.
Check Now — Free →No account required · No data stored · Results in seconds